Cover Image

A Sensitivity Analysis of the Surrogate Index Approach for Estimating Long-Term Treatment Effects

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Fan, Yanqin, Manzanares, Carlos A., Park, Hyeonseok, Qi, Yuan
Format:	Preprint
Published:	2026
Subjects:	Econometrics
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Minimum Sliced Distance Estimation in a Class of Nonregular Econometric Models
by: Fan, Yanqin, et al.
Published: (2024)

Partial Identification in Moment Models with Incomplete Data--A Conditional Optimal Transport Approach
by: Fan, Yanqin, et al.
Published: (2025)

The Proximal Surrogate Index: Long-Term Treatment Effects under Unobserved Confounding
by: Hung, Ting-Chih, et al.
Published: (2026)

Estimating Effects of Long-Term Treatments
by: Huang, Shan, et al.
Published: (2023)

Estimating Treatment Effects using Multiple Surrogates: The Role of the Surrogate Score and the Surrogate Index
by: Athey, Susan, et al.
Published: (2016)

Policy Learning with $α$-Expected Welfare
by: Fan, Yanqin, et al.
Published: (2025)

Semiparametric Single-Index Estimation for Average Treatment Effects
by: Huang, Difang, et al.
Published: (2022)

Iterative Distributed Multinomial Regression
by: Fan, Yanqin, et al.
Published: (2024)

Sensitivity Analysis for Treatment Effects in Difference-in-Differences Models using Riesz Representation
by: Bach, Philipp, et al.
Published: (2025)

Identification of Long-Term Treatment Effects via Temporal Links, Observational, and Experimental Data
by: Obradović, Filip
Published: (2024)

A Bracketing Relationship for Long-Term Policy Evaluation with Combined Experimental and Observational Data
by: Park, Yechan, et al.
Published: (2024)

Estimation of Heterogeneous Treatment Effects Using a Conditional Moment Based Approach
by: Sun, Xiaolin
Published: (2022)

Identification and Estimation of Unconditional Policy Effects of an Endogenous Binary Treatment: An Unconditional MTE Approach
by: Martinez-Iriarte, Julian, et al.
Published: (2020)

Sensitivity Analysis for Linear Estimators
by: Dorn, Jacob, et al.
Published: (2023)

The PCDID Approach to Treatment Effects Estimation: A Further Investigation
by: Tilman Bretschneider, et al.
Published: (2025)

Treatment Effect Estimators as Weighted Outcomes
by: Knaus, Michael C.
Published: (2024)

Sensitivity Analysis in Unconditional Quantile Effects
by: Martinez-Iriarte, Julian
Published: (2023)

Difference-in-Differences Estimators of Intertemporal Treatment Effects
by: de Chaisemartin, Clément, et al.
Published: (2020)

Lorenz map, inequality ordering and curves based on multidimensional rearrangements
by: Fan, Yanqin, et al.
Published: (2022)

Residualised Treatment Intensity and the Estimation of Average Partial Effects
by: Schäper, Julius
Published: (2025)

Estimating Nonseparable Selection Models: A Functional Contraction Approach
by: Wu, Fan, et al.
Published: (2024)

Predicting the Distribution of Treatment Effects: A Covariate-Adjustment Approach
by: Fava, Bruno
Published: (2024)

Direct Bias-Correction Term Estimation for Average Treatment Effect Estimation
by: Kato, Masahiro
Published: (2025)

Inequality Sensitive Optimal Treatment Assignment
by: Zambrano, Eduardo
Published: (2024)

Estimating Treatment Effects in Panel Data Without Parallel Trends
by: Ishimaru, Shoya
Published: (2026)

Estimating Treatment Effects Under Bounded Heterogeneity
by: Kwon, Soonwoo, et al.
Published: (2025)

Estimation and Inference on Average Treatment Effect in Percentage Points under Heterogeneity
by: Zeng, Ying
Published: (2024)

Denoised IPW-Lasso for Heterogeneous Treatment Effect Estimation in Randomized Experiments
by: Guan, Mingqian, et al.
Published: (2025)

Estimations of the Local Conditional Tail Average Treatment Effect
by: Chen, Le-Yu, et al.
Published: (2021)

The Exact Variance of the Average Treatment Effect Estimator in Cluster Randomized Controlled Trials
by: Fang, Yue, et al.
Published: (2025)

Treatment-Effect Estimation in Complex Designs under a Parallel-trends Assumption
by: de Chaisemartin, Clément, et al.
Published: (2025)

Long-Term Causal Inference with Many Noisy Proxies
by: Lal, Apoorva, et al.
Published: (2026)

Sensitivity Analysis for Causal ML: A Use Case at Booking.com
by: Bach, Philipp, et al.
Published: (2025)

Estimating Treatment Effects under Algorithmic Interference: A Structured Neural Networks Approach
by: Zhan, Ruohan, et al.
Published: (2024)

Estimating Causal Effects of Discrete and Continuous Treatments with Binary Instruments
by: Chernozhukov, Victor, et al.
Published: (2024)

Abadie's Kappa and Weighting Estimators of the Local Average Treatment Effect
by: Słoczyński, Tymon, et al.
Published: (2022)

Causal Effect Estimation with Latent Textual Treatments
by: Feldman, Omri, et al.
Published: (2026)

An Axiomatic Approach to Comparing Sensitivity Parameters
by: Diegert, Paul, et al.
Published: (2025)

Inference for Nonlinear Endogenous Treatment Effects Accounting for High-Dimensional Covariate Complexity
by: Fan, Qingliang, et al.
Published: (2023)

Single-Index Quantile Factor Model with Observed Characteristics
by: Xu, Ruofan, et al.
Published: (2025)